Quantifying the social net: a nomogram to predict baseline quality of life at clinical entry for head and neck cancer

Abstract

Abstract Background Quality of life (QoL) and psychological distress are critical yet under-evaluated dimensions of head and neck squamous cell carcinoma (HNSCC) management. While clinical staging is a primary determinant of survival, the influence of the socio-economic “safety net” in low- and middle-income countries remains under-researched. We aimed to identify independent socio-clinical predictors of QoL and develop an exploratory socio-clinical scoring chart to visualize baseline vulnerabilities. Methods This prospective observational study of 2,458 patients at the Regional Cancer Centre, Trivandrum (2000–2004) evaluated primary HNSCC at clinical entry using the FACT-HN instrument. Multivariable regression was used to identify independent predictors among clinical TNM staging and socio-demographic variables, including literacy and family structure. A predictive nomogram was developed by normalizing regression coefficients to a 100-point scale. Multivariable Ordinary Least Squares (OLS) linear regression was utilized as the primary framework to construct the nomogram, supplemented by secondary binary logistic regression for descriptive risk stratification. Results The mean FACT-HN score was 103.16 ± 20.21. QoL declined significantly with advancing clinical stage ( p < 0.001). Multivariable analysis revealed that socio-economic factors exerted an impact comparable to clinical stage. Multivariable continuous analysis revealed substantial baseline score penalties for patient illiteracy (-8.84 points) and spousal illiteracy (-9.75 points), matching or exceeding the impact of advanced oncological stage. Spousal literacy and adult child support emerged as primary moderators of well-being. Conclusion In Indian patients with HNSCC, the “social net” (literacy and family structure) is as critical as oncological staging in determining QoL. Our exploratory nomogram provides a standardized structural map of baseline socio-demographic vulnerabilities at clinical entry, emphasizing the value of caregiver-inclusive supportive care in low-resource settings.